Data Engineer - Databricks (Remote)
Lumenalta
Data Engineer - Databricks (Remote)We work with global enterprises to design and build data platforms that power digital products used by millions of users. Our projects involve large-scale datasets, complex distributed pipelines, and real business impact.
We’re looking for a
Senior Data Engineer
to join our remote team and take ownership of building and scaling data solutions using
Databricks on AWS. This is a hands‑on senior IC role with strong influence on architecture and implementation.
What You’ll Do
Design, build, and maintain
scalable ETL / ELT pipelines
using
Databricks, PySpark, and AWS
Work with
large, complex datasets
in production environments
Write clean, efficient, and maintainable
Python and advanced SQL
Build pipelines
from scratch, not just maintain existing ones
Ensure data quality, performance, reliability, and cost efficiency
Collaborate closely with product, analytics, and engineering teams to translate business needs into technical solutions
Contribute to architectural decisions and data engineering best practices
What We’re Looking For
7+ years
of experience as a
Data Engineer
Strong, hands‑on experience with:
Python, SQL (advanced), PySpark, Databricks (production experience required) and AWS
Proven experience designing and building
end‑to‑end data pipelines
Solid understanding of
distributed data processing
and data modeling
Fluent English, both written and spoken
Benefits
Flexible working hours in a remote environment.
Health insurance (medical and dental) for T4 Employees.
A professional development fund to enhance your skills and knowledge.
15 days of paid time off annually.
Access to soft‑skill development courses to further your career.
Referrals increase your chances of interviewing at Lumenalta by 2x.
Employment TypeFull‑time
Seniority LevelMid‑Senior level
LocationThis is a
fully remote position ;
however, candidates must be
based in regions that align with the Pacific, Central, or Eastern U.S. time zones
to ensure effective collaboration with client and team schedules.
Additional InformationThis is a full‑time position requiring a minimum of
40 hours per week, Monday through Friday. This is an evergreen opening with no set deadline;
we’re always excited toconnect with professionals who want to help us build the future.
#J-18808-Ljbffr
We’re looking for a
Senior Data Engineer
to join our remote team and take ownership of building and scaling data solutions using
Databricks on AWS. This is a hands‑on senior IC role with strong influence on architecture and implementation.
What You’ll Do
Design, build, and maintain
scalable ETL / ELT pipelines
using
Databricks, PySpark, and AWS
Work with
large, complex datasets
in production environments
Write clean, efficient, and maintainable
Python and advanced SQL
Build pipelines
from scratch, not just maintain existing ones
Ensure data quality, performance, reliability, and cost efficiency
Collaborate closely with product, analytics, and engineering teams to translate business needs into technical solutions
Contribute to architectural decisions and data engineering best practices
What We’re Looking For
7+ years
of experience as a
Data Engineer
Strong, hands‑on experience with:
Python, SQL (advanced), PySpark, Databricks (production experience required) and AWS
Proven experience designing and building
end‑to‑end data pipelines
Solid understanding of
distributed data processing
and data modeling
Fluent English, both written and spoken
Benefits
Flexible working hours in a remote environment.
Health insurance (medical and dental) for T4 Employees.
A professional development fund to enhance your skills and knowledge.
15 days of paid time off annually.
Access to soft‑skill development courses to further your career.
Referrals increase your chances of interviewing at Lumenalta by 2x.
Employment TypeFull‑time
Seniority LevelMid‑Senior level
LocationThis is a
fully remote position ;
however, candidates must be
based in regions that align with the Pacific, Central, or Eastern U.S. time zones
to ensure effective collaboration with client and team schedules.
Additional InformationThis is a full‑time position requiring a minimum of
40 hours per week, Monday through Friday. This is an evergreen opening with no set deadline;
we’re always excited toconnect with professionals who want to help us build the future.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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